CN104933871B - Method and system for detecting traffic vehicles - Google Patents

Abstract

The present application discloses a traffic vehicle detection method and system, the method comprising: when the difference between all real-time signals of the target geomagnetic field detected within a period of time and the predetermined background geomagnetic field value is greater than the first threshold , determine the target time length and the target maximum signal; determine the target deviation factor according to the target maximum signal and the background geomagnetic field value; when the target deviation factor is greater than the second threshold, judge the interference condition of the adjacent lane, If the adjacent lane interference condition is not satisfied, the vehicle passing condition is judged. On the premise that the target deviation factor is greater than the second threshold, the present invention judges whether the above-mentioned target deviation factor and target time length meet the interference condition of adjacent lanes, so as to reduce the interference caused by external non-vehicle factors or the interference caused by adjacent lanes. The statistical deviation of vehicles caused by the interference of the vehicles on the lane to the target lane improves the accuracy of the statistical results.

Description

Method and system for detecting traffic vehicles

technical field

The invention relates to the technical field of vehicle detection, in particular to a traffic vehicle detection method and system.

Background technique

At present, when detecting vehicles running on a lane, people usually use magnetic sensors to detect the vehicles. The ferromagnetic substance contained in the vehicle itself can change the geomagnetic field lines in the area where the vehicle is located. When the vehicle passes the monitoring position where the magnetic sensor is located, the magnetic sensor can detect the disturbance of the geomagnetic field signal caused by the vehicle passing the monitoring position. This enables the detection of vehicles traveling on the lane.

However, when using a magnetic sensor to detect a vehicle on the track to be tested, when a vehicle on an adjacent lane passes near the monitoring position, it will interfere with the geomagnetic field signal detected on the track to be tested, thus making the track to be tested There is a serious deviation in the number of driving vehicles finally detected on the network, which affects the accuracy of the statistical results. In addition, interference signals generated by external non-vehicle factors can also have a negative impact on the statistical results, reducing the accuracy of the statistical results.

To sum up, it can be seen that how to reduce the statistical deviation of vehicles caused by the interference caused by external non-vehicle factors or the interference of vehicles in adjacent lanes on the target lane, so as to improve the accuracy of statistical results is an urgent problem to be solved at present. question.

Contents of the invention

In view of this, the purpose of the present invention is to provide a traffic vehicle detection method and system, which reduces the vehicle statistical deviation caused by the interference caused by external non-vehicle factors or the interference of vehicles on the adjacent lanes on the target lane, thereby The accuracy of statistical results has been improved. The specific plan is as follows:

A traffic vehicle detection method, comprising:

Real-time detection of the geomagnetic field signal at the target monitoring position on the target lane to obtain the real-time signal of the geomagnetic field of the target;

When the difference between all the real-time signals of the target geomagnetic field detected within a period of time and the predetermined background geomagnetic field value is greater than the first threshold, the corresponding time length of the period of time is determined as the target time length, And the target geomagnetic field real-time signal with the largest signal strength among all the target geomagnetic field real-time signals is determined as the target maximum value signal;

Determine a target deviation factor according to the target maximum value signal and the background geomagnetic field value;

When the target deviation factor is greater than the second threshold, it is judged whether the target deviation factor and the target time length meet the adjacent lane interference condition, and if so, all the target geomagnetic field real-time signals are determined as adjacent lanes The interference signal caused to the target lane, if not, then judge whether the target deviation factor and the target time length meet the vehicle passing condition;

When the target deviation factor and the target time length meet the vehicle passing condition, then all the target geomagnetic field real-time signals are determined as signals detected when the vehicle passes the target monitoring position on the target lane .

Preferably, each time the traffic vehicle detection operation is performed on the target monitoring position, the background geomagnetic field value needs to be re-determined in advance.

Preferably, in a traffic vehicle detection operation, the process of predetermining the background geomagnetic field value includes:

When it is necessary to determine the background geomagnetic field value, if no vehicle passes through the target monitoring position at this time, then the geomagnetic field signal of the target monitoring position in the first time period is detected to obtain L geomagnetic field background signals, L It is a positive integer greater than 2; Utilize the background geomagnetic field value in the traffic vehicle detection operation last time and the M geomagnetic field background signals in the said L geomagnetic field background signals, calculate the background geomagnetic field in this traffic vehicle detection operation Magnetic field value; Wherein, the M background signals of the geomagnetic field are M signals located in the middle of the L background signals of the geomagnetic field on the time axis;

When it is necessary to determine the background geomagnetic field value, if a vehicle passes the target monitoring position at this time, the background geomagnetic field value of the previous traffic vehicle detection operation is determined as the background geomagnetic field value of the traffic vehicle detection operation.

Preferably, the background geomagnetic field value in the traffic vehicle detection operation is calculated by using the background geomagnetic field value in the last traffic vehicle detection operation and the M geomagnetic field background signals in the L geomagnetic field background signals. The process includes:

Carry out mean value calculation to described M geomagnetic field background signals, obtain the first mean value;

Respectively multiply the background geomagnetic field value in the last traffic vehicle detection operation and the first average value by respective weight coefficients and add up to obtain the background geomagnetic field value in this traffic vehicle detection operation;

Wherein, the weight coefficient of the first average value is β, the weight coefficient of the background geomagnetic field value in the last traffic vehicle detection operation is 1-β, and β is a positive number less than 1.

Preferably, in the initial traffic vehicle detection operation, the process of predetermining the background geomagnetic field value includes:

In the case that no vehicle passes through the target monitoring position, the geomagnetic field signal of the target monitoring position in the second time period is detected to obtain M ₀ geomagnetic field background signals, and the M ₀ is a positive integer;

Perform average calculation on the M ₀ background signals of the geomagnetic field to obtain a second average value, and determine the second average value as the background geomagnetic field value of the initial traffic vehicle detection operation.

Preferably, the process of determining the target deviation factor according to the target maximum value signal and the background geomagnetic field value includes:

After subtracting the background geomagnetic field value from the target maximum value signal, a corresponding difference value is obtained, and a ratio between the difference value and the background geomagnetic field value is determined as the target deviation factor.

Preferably, the process of judging whether the target deviation factor and the target time length meet the adjacent lane interference condition includes:

Judging whether the target time length is greater than the cart passing time and judging whether the target deviation factor is less than the minimum deviation factor of the cart, if the target time length is greater than the cart passing time and the target deviation factor is less than the maximum If the minimum deviation factor of the vehicle is determined, it is determined that the target deviation factor and the target time length meet the adjacent lane interference condition, otherwise, it is determined that the target deviation factor and the target time length do not meet the adjacent lane interference condition condition;

Wherein, the cart passing time is the time required for the cart to pass the target monitoring position, and the cart minimum deviation factor is the minimum detection deviation factor when the cart passes the target lane.

Preferably, the vehicle passing conditions include large vehicle passing conditions and trolley passing conditions.

Preferably, the process of judging whether the target deviation factor and the target time length meet the vehicle passing condition includes:

Judging whether the target time length is greater than the cart passing time and judging whether the target deviation factor is greater than the maximum deviation factor of the trolley, if the target time length is greater than the cart passing time and the target deviation factor is greater than the car maximum deviation factor, then determine that the target deviation factor and the target time length meet the cart passing conditions;

Judging whether the target time length is less than the trolley passing time, if yes, then determining that the target deviation factor and the target time length satisfy the trolley passing condition;

Wherein, the maximum deviation factor of the car is the maximum detection deviation factor when the car passes the target lane, and the passing time of the car is the time required for the car to pass the target monitoring position.

The invention also discloses a traffic vehicle detection system, comprising:

The signal detection module is used for the real-time detection of the geomagnetic field signal on the target monitoring position on the target lane, and obtains the real-time signal of the geomagnetic field of the target;

The signal processing module is used to convert the time length corresponding to the period of time when the difference between all real-time signals of the target geomagnetic field detected within a period of time and the predetermined background geomagnetic field value is greater than the first threshold value. Determine as the target time length, and determine the target geomagnetic field real-time signal with the largest signal strength among all the target geomagnetic field real-time signals as the target maximum value signal;

A deviation factor determination module, configured to determine a target deviation factor according to the target maximum signal and the background geomagnetic field value;

The first judging module is used for judging whether the target deviation factor and the target time length meet the adjacent lane interference condition when the target deviation factor is greater than the second threshold, and if so, all the target geomagnetic fields The real-time signal is determined as an interference signal caused by an adjacent lane to the target lane;

The second judging module is used for judging whether the target deviation factor and the target time length meet the requirements of the vehicle when the first judging module judges that the target deviation factor and the target time length do not meet the adjacent lane interference condition The pass condition, if yes, determine the real-time signals of all the target geomagnetic fields as the signals detected when the vehicle passes the target monitoring position on the target lane.

In the present invention, when the difference between all target geomagnetic field real-time signals detected within a period of time and the predetermined background geomagnetic field value is greater than the first threshold, the corresponding time length of the above period of time is determined as The target time length, and the real-time signal of the target geomagnetic field with the largest signal strength among all the above-mentioned target geomagnetic field real-time signals is determined as the target maximum value signal. The difference between all the real-time signals of the target geomagnetic field detected within the above-mentioned period of time and the predetermined background geomagnetic field value is greater than the first threshold, which means that the real-time signal of the target geomagnetic field detected at this time may be caused by the passing of the vehicle. The signal is caused by the target monitoring position, but it may also be caused by the interference of vehicles on the adjacent lane to the target lane or the interference caused by external non-vehicle factors. In order to further determine whether all the real-time signals of the geomagnetic field of the target detected in the above-mentioned period of time are signals caused when the vehicle passes the target monitoring position, the present invention needs to calculate the above-mentioned target deviation factor under the premise that the target deviation factor is greater than the second threshold. Judging whether the target time length meets the adjacent lane interference conditions, so as to reduce the interference caused by external non-vehicle factors or the vehicle statistical deviation caused by the interference of vehicles in adjacent lanes on the target lane, and improve the statistical results purpose of accuracy.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

Fig. 1 is a flow chart of a traffic vehicle detection method disclosed in an embodiment of the present invention;

Fig. 2 is a schematic structural diagram of a traffic vehicle detection system disclosed in an embodiment of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The embodiment of the present invention discloses a traffic vehicle detection method, as shown in Fig. 1, the method includes:

Step S11: Real-time detection of the geomagnetic field signal at the target monitoring position on the target lane to obtain the real-time signal of the geomagnetic field of the target.

Step S12: When the difference between all real-time signals of the target geomagnetic field detected within a period of time and the predetermined background geomagnetic field value is greater than the first threshold, determine the time length corresponding to a period of time as the target time length , and determine the real-time signal of the target geomagnetic field with the highest signal intensity among all real-time signals of the target geomagnetic field as the target maximum value signal.

Step S13: Determine the target deviation factor according to the target maximum value signal and the background geomagnetic field value.

Step S14: When the target deviation factor is greater than the second threshold, judge whether the target deviation factor and the target time length meet the interference condition of the adjacent lane, if yes, determine all the real-time signals of the target geomagnetic field as caused by the adjacent lane to the target lane Interference signal, if not, judge whether the target deviation factor and the target time length meet the vehicle passing condition.

It should be noted that, in order to improve the accuracy of statistical results, the above-mentioned second threshold may be appropriately set to a higher threshold according to actual application requirements. When the target deviation factor is less than or equal to the second threshold, it can be directly determined that all the real-time signals of the above-mentioned target geomagnetic field are interference signals caused by external non-vehicle factors, which is conducive to reducing the interference caused by external non-vehicle factors. statistical error. When the target deviation factor is greater than the second threshold, it is determined that all the real-time signals of the above-mentioned target geomagnetic field are signals caused by vehicles traveling on the target lane or on adjacent lanes.

Step S15: When the target deviation factor and the target time length satisfy the vehicle passing condition, then determine all the real-time signals of the geomagnetic field of the target as the signals detected when the vehicle passes the target monitoring position on the target lane.

In the embodiment of the present invention, when the difference between all real-time signals of the target geomagnetic field detected within a period of time and the predetermined background geomagnetic field value is greater than the first threshold value, the time length corresponding to the above period of time is set to It is determined as the target time length, and the real-time signal of the target geomagnetic field with the largest signal strength among all the above-mentioned real-time signals of the target geomagnetic field is determined as the target maximum value signal. The difference between all the real-time signals of the target geomagnetic field detected within the above period of time and the predetermined background geomagnetic field value is greater than the first threshold, which means that the real-time signal of the target geomagnetic field detected at this time may be caused by the passing of the vehicle. The signal is caused by the target monitoring position, but it may also be caused by the interference of vehicles on the adjacent lane to the target lane or the interference caused by external non-vehicle factors. In order to further determine whether all the real-time signals of the geomagnetic field of the target detected within a period of time are signals caused by the vehicle passing the target monitoring position, the embodiment of the present invention needs to detect the above target on the premise that the target deviation factor is greater than the second threshold. Whether the deviation factor and the target time length meet the interference conditions of adjacent lanes is judged, so as to reduce the interference caused by external non-vehicle factors or the vehicle statistical deviation caused by the interference of vehicles on the adjacent lanes on the target lane, and realize the improvement. The purpose of accuracy of statistical results.

The embodiment of the present invention discloses a specific traffic vehicle detection method, and this embodiment further describes the method disclosed in the previous embodiment. The traffic vehicle detection method disclosed in this embodiment includes:

Step S11: Real-time detection of the geomagnetic field signal at the target monitoring position on the target lane to obtain the real-time signal of the geomagnetic field of the target.

Specifically, in this embodiment, the real-time detection of the y-axis component of the geomagnetic field signal is performed on the target monitoring position on the target lane to obtain the real-time signal of the geomagnetic field of the target. That is, the real-time signal of the target geomagnetic field in this embodiment refers to a signal composed of the y-axis component of the geomagnetic field signal.

Step S12: When the difference between all real-time signals of the target geomagnetic field detected within a period of time and the predetermined background geomagnetic field value is greater than the first threshold, determine the time length corresponding to a period of time as the target time length , and determine the real-time signal of the target geomagnetic field with the highest signal intensity among all real-time signals of the target geomagnetic field as the target maximum value signal.

It should be noted that, in the actual vehicle detection process, there are differences in the strength of the background geomagnetic field around the target monitoring position at different time periods. When carrying out traffic vehicle detection operations on the target monitoring position, it is necessary to re-determine the background geomagnetic field value in advance.

Wherein, in a traffic vehicle detection operation, the process of predetermining the background geomagnetic field value may specifically include:

Step S121: When it is necessary to determine the background geomagnetic field value, if no vehicle passes the target monitoring position at this time, then detect the geomagnetic field signal of the target monitoring position in the first time period, and obtain L background geomagnetic field signals, L is A positive integer greater than 2; the background geomagnetic field value in the traffic vehicle detection operation is calculated by using the background geomagnetic field value in the last traffic vehicle detection operation and the M geomagnetic field background signals in the L geomagnetic field background signals; Among them, the M background signals of the geomagnetic field are M signals located in the middle of the L background signals of the geomagnetic field on the time axis; that is, several signals located at both ends of the time axis among the above-mentioned L background signals of the geomagnetic field are removed, and only M background signals of the geomagnetic field located in the middle of the time axis.

Step S122: When it is necessary to determine the background geomagnetic field value, if a vehicle passes the target monitoring position at this time, determine the background geomagnetic field value of the previous traffic vehicle detection operation as the background geomagnetic field value of the traffic vehicle detection operation.

In step S121, the process of calculating the background geomagnetic field value in this traffic vehicle detection operation by using the background geomagnetic field value in the previous traffic vehicle detection operation and the M geomagnetic field background signals in the L geomagnetic field background signals Specifically can include:

Calculate the average value of the M background signals of the geomagnetic field to obtain the first average value; respectively multiply the background geomagnetic field value and the first average value in the last traffic vehicle detection operation by their respective weight coefficients and add them together to obtain The background geomagnetic field value in this traffic vehicle detection operation.

Wherein, the weight coefficient of the first average value is β, the weight coefficient of the background geomagnetic field value in the previous traffic vehicle detection operation is 1-β, and β is a positive number less than 1. The above weight coefficient β is used as a forgetting factor, which can be set according to actual application needs.

In addition, it should be noted that in the initial traffic vehicle detection operation, that is, when the traffic vehicle detection operation is performed for the first time, the process of pre-determining the background geomagnetic field value includes:

When no vehicle passes the target monitoring position, detect the geomagnetic field signal of the target monitoring position in the second time period, and obtain M ₀ geomagnetic field background signals, M ₀ is a positive integer; for M ₀ geomagnetic field background signals The average value is calculated to obtain the second average value, and the second average value is determined as the background geomagnetic field value of the initial traffic vehicle detection operation.

In step S12, the i-th target geomagnetic field real-time signal in all target geomagnetic field real-time signals can be set as S _y (i), wherein y is used to represent that S _y (i) is the y-axis component of the geomagnetic field signal; Set the background geomagnetic field value in this traffic vehicle detection operation as By _y (m), where m represents the sequence number in this traffic detection operation; in addition, the first threshold can be expressed as By _y (m) γ ₀ , then the difference between the real-time signal of the i-th target geomagnetic field and the background geomagnetic field value is greater than the first threshold, which can be specifically expressed as:

S _y (i)-B _y (m)>B _y (m)·γ ₀ , that is,

Wherein, it is found in the actual application process that the preferred value range of γ ₀ is greater than 0.01 and less than 0.05.

Step S13: Determine the target deviation factor according to the target maximum value signal and the background geomagnetic field value.

The above-mentioned process of determining the target deviation factor according to the target maximum signal and the background geomagnetic field value may specifically include:

After subtracting the background geomagnetic field value from the target maximum signal, the corresponding difference is obtained, and the ratio between the difference and the background geomagnetic field value is determined as the target deviation factor.

Specifically, the above target maximum value signal can be set as Max _y , then the target deviation factor can be expressed as:

Step S14: When the target deviation factor is greater than the second threshold, judge whether the target deviation factor and the target time length meet the interference condition of the adjacent lane, if yes, determine all the real-time signals of the target geomagnetic field as caused by the adjacent lane to the target lane Interference signal, if not, judge whether the target deviation factor and the target time length meet the vehicle passing condition.

Wherein, it is found during practical application that the preferred value range of the second threshold is greater than 0.15 and less than 0.3.

The above-mentioned process of judging whether the target deviation factor and the target time length meet the adjacent lane interference condition may specifically include:

Judging whether the target time length is greater than the cart passing time and judging whether the target deviation factor is smaller than the cart minimum deviation factor, if the target time length is greater than the cart passing time and the target deviation factor is smaller than the cart minimum deviation factor, then determine the target deviation factor and the target The time length satisfies the interference condition of the adjacent lane, otherwise, it is determined that the target deviation factor and the target time length do not meet the interference condition of the adjacent lane; among them, the cart passing time is the time required for the cart to pass the target monitoring position, and the cart is the minimum The deviation factor is the minimum detection deviation factor when the large vehicle passes the target lane. It should be noted that the above-mentioned cart passing time and the minimum deviation factor of the cart are empirical values obtained from the actual application process, and are not specifically limited here.

In addition, since there are different types of vehicles driving on the lane, in order to reduce detection errors caused by differences in vehicle types, the vehicle passing conditions in this embodiment may include large vehicle passing conditions and small vehicle passing conditions. Therefore, the process of judging whether the target deviation factor and the target time length meet the vehicle passing conditions may specifically include:

Step S141: Determine whether the target time length is greater than the cart passing time and determine whether the target deviation factor is greater than the maximum deviation factor of the trolley. If the target time length is greater than the cart passing time and the target deviation factor is greater than the maximum deviation factor of the trolley, then determine the target deviation factor and The target time length satisfies the conditions for passing the cart.

Step S142: Judging whether the target time length is less than the trolley passing time, if yes, then judging that the target deviation factor and the target time length satisfy the trolley passing condition;

Among them, the maximum deviation factor of the car is the maximum detection deviation factor when the car passes the target lane, and the passing time of the car is the time required for the car to pass the target monitoring position. It should be noted that the passing time of the trolley and the maximum deviation factor of the trolley mentioned above are empirical values obtained from the actual application process, and are not specifically limited here.

Specifically, the passing time of the cart, the passing time of the trolley, the minimum deviation factor of the cart and the maximum deviation factor of the trolley can be set as T _L , T _S , γ _L and γ _S respectively. So,

The adjacent lane interference condition can be expressed as: Δt>T _L and α _y <γ _L ;

The passing conditions of carts can be expressed as: Δt>T _L and α _y >γ _S ;

The passing condition of the trolley can be expressed as: Δt<T _S .

Among them, Δt represents the target time length, and α _y represents the target deviation factor.

Step S15: When the target deviation factor and the target time length satisfy the vehicle passing condition, then determine all the real-time signals of the geomagnetic field of the target as the signals detected when the vehicle passes the target monitoring position on the target lane.

Determining all real-time signals of the geomagnetic field of the target as the signals detected when the vehicle passes the target monitoring position on the target lane means that there is a vehicle passing the target monitoring position on the target road, thereby correspondingly increasing the driving time passing the target monitoring position the number of vehicles.

In the embodiment of the present invention, every time the traffic vehicle detection operation is performed on the target monitoring position, the background geomagnetic field value needs to be re-determined in advance, thereby reducing the influence of the difference in the background geomagnetic field value in different periods on the detection results. Influence; In addition, the vehicle passing conditions in this embodiment may include large vehicle passing conditions and small vehicle passing conditions, which reduces detection errors caused by differences in vehicle types.

The embodiment of the present invention also discloses a traffic vehicle detection system, as shown in Figure 2, the system includes:

The signal detection module 21 is used for the real-time detection of the geomagnetic field signal to the target monitoring position on the target lane, and obtains the real-time signal of the geomagnetic field of the target;

The signal processing module 22 is used to determine the time length corresponding to a period of time when the difference between all real-time signals of the target geomagnetic field detected within a period of time and the predetermined background geomagnetic field value is greater than the first threshold. Be the target time length, and determine the target geomagnetic field real-time signal with the largest signal strength among all target geomagnetic field real-time signals as the target maximum value signal;

Deviation factor determination module 23, for determining the target deviation factor according to the target maximum value signal and the background geomagnetic field value;

The first judging module 24 is used to determine whether the target deviation factor and the target time length meet the adjacent lane interference condition when the target deviation factor is greater than the second threshold, and if so, determine all target geomagnetic field real-time signals as adjacent lanes Interference signals caused to the target lane;

The second judging module 25 is used to determine whether the target deviation factor and the target time length meet the vehicle passing condition when the first judging module 24 judges that the target deviation factor and the target time length do not meet the interference condition of the adjacent lane. All real-time signals of the geomagnetic field of the target are determined as signals detected when the vehicle passes the target monitoring position on the target lane.

Among them, the preferred signal detection module 21 is a magnetic sensor.

In the embodiment of the present invention, when the differences between all real-time signals of the target geomagnetic field detected within a period of time and the predetermined background geomagnetic field values are greater than the first threshold, the signal processing module will The time length of is determined as the target time length, and the real-time signal of the target geomagnetic field with the largest signal strength among all the above-mentioned real-time signals of the geomagnetic field of the target is determined as the target maximum value signal. The difference between all the real-time signals of the target geomagnetic field detected within the above-mentioned period of time and the predetermined background geomagnetic field value is greater than the first threshold, which means that the real-time signal of the target geomagnetic field detected at this time may be caused by the passing of the vehicle. The signal is caused by the target monitoring position, but it may also be caused by the interference of vehicles on the adjacent lane to the target lane or the interference caused by external non-vehicle factors. In order to further determine whether all the real-time signals of the geomagnetic field of the target detected within the above-mentioned period of time are signals caused by the vehicle passing the target monitoring position, the first judging module in the embodiment of the present invention needs to detect when the target deviation factor is greater than the second threshold Under the premise, judge whether the above-mentioned target deviation factor and target time length meet the adjacent lane interference conditions, so as to reduce the interference caused by external non-vehicle factors or the interference of vehicles in adjacent lanes on the target lane. Statistical deviation, to achieve the purpose of improving the accuracy of statistical results.

Finally, it should also be noted that in this text, relational terms such as first and second etc. are only used to distinguish one entity or operation from another, and do not necessarily require or imply that these entities or operations, any such actual relationship or order exists. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

Above, a kind of traffic vehicle detection method and system provided by the present invention have been introduced in detail. In this paper, specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only used to help understand the present invention. method and its core idea; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation and application scope. Invention Limitations.

Claims (10)

1. a kind of vehicular traffic detection method, it is characterised in that include：

The real-time detection of earth magnetism field signal is carried out to the target monitoring position on target track, target earth's magnetic field is obtained and is believed in real time Number；

When between all target earth's magnetic fields live signal and predetermined background earth's magnetic field value detected within a period of time Difference when being all higher than first threshold, the time span corresponding to described a period of time is defined as into object time length, and will In all target earth's magnetic fields live signal, the maximum target earth's magnetic field live signal of signal intensity is defined as Target Max Signal；

It is worth according to the Target Max signal and the background earth's magnetic field, determines the target deviation factor；

When the target deviation factor is more than Second Threshold, judge that the target deviation factor and the object time length are It is no to meet adjacent lane interference condition, if it is, all target earth's magnetic fields live signal is defined as adjacent lane pair The interference signal that the target track is caused, if it is not, then judge that the target deviation factor and the object time length are It is no to meet vehicle by condition；

When the target deviation factor and the object time length meet the vehicle by condition, then by all mesh Mark earth's magnetic field live signal is defined as by vehicle by signal detected during target monitoring position on the target track.

2. vehicular traffic detection method according to claim 1, it is characterised in that every time the target monitoring position is entered During row vehicular traffic detection operation, it is both needed in advance background earth's magnetic field value be carried out redefining process.

3. vehicular traffic detection method according to claim 2, it is characterised in that in a vehicular traffic detection operation In, the process for predefining background earth's magnetic field value includes：

When it needs to be determined that background earth's magnetic field is worth, if now no vehicle is by the target monitoring position, to first In time period, the earth magnetism field signal of the target monitoring position is detected, obtains L earth's magnetic field background signal, and L is more than 2 Positive integer；Using the M in the background earth's magnetic field value and L earth's magnetic field background signal in last vehicular traffic detection operation Individual earth's magnetic field background signal, the background earth's magnetic field value being calculated in this vehicular traffic detection operation；Wherein, the M ground Magnetic field background signal is on a timeline positioned at the M signal in the L earth's magnetic field background signal centre position；

When it needs to be determined that background earth's magnetic field is worth, if now having vehicle by the target monitoring position, by the last time The background earth's magnetic field value of vehicular traffic detection operation is defined as the background earth's magnetic field value of this vehicular traffic detection operation.

4. vehicular traffic detection method according to claim 3, it is characterised in that described using last vehicular traffic inspection M earth's magnetic field background signal in the background earth's magnetic field value surveyed in operation and L earth's magnetic field background signal, is calculated this The process of the background earth's magnetic field value in secondary vehicular traffic detection operation includes：

Mean value calculation is carried out to M earth's magnetic field background signal, the first meansigma methodss are obtained；

The background earth's magnetic field value in last vehicular traffic detection operation and first meansigma methodss are multiplied by into respective power respectively Weight coefficient simultaneously carries out addition process, obtains the background earth's magnetic field value in this vehicular traffic detection operation；

Wherein, the weight coefficient of first meansigma methodss is β, the background earth's magnetic field value in last vehicular traffic detection operation Weight coefficient is 1- β, and β is the positive number less than 1.

5. vehicular traffic detection method according to claim 4, it is characterised in that in initial vehicular traffic detection operation, The process of predetermined background earth's magnetic field value includes：

In the case where no vehicle is by the target monitoring position, the ground to the target monitoring position in second time period Field signal detected, obtains M₀Individual earth's magnetic field background signal, the M₀For positive integer；

To the M₀Individual earth's magnetic field background signal carries out mean value calculation, obtains the second meansigma methodss, and will be second meansigma methodss true It is set to the background earth's magnetic field value of the initial vehicular traffic detection operation.

6. vehicular traffic detection method according to claim 5, it is characterised in that described to be believed according to the Target Max Number and the background earth's magnetic field value, determine that the process of the target deviation factor includes：

The Target Max signal is deducted after the value of the background earth's magnetic field, corresponding difference is obtained, and by the difference and institute State the ratio between the value of background earth's magnetic field and be defined as the target deviation factor.

7. the vehicular traffic detection method according to any one of claim 1 to 6, it is characterised in that the judgement mesh The process whether mark deviation factors and the object time length meet adjacent lane interference condition includes：

Judge whether the object time length is more than cart by the time and judges whether the target deviation factor is less than The cart minimum deflection factor, if the object time length passes through the time more than the cart and the target deviation factor is little In the cart minimum deflection factor, then judge that the target deviation factor and the object time length meet the adjacent car Road disturbed condition, otherwise, then judges that the target deviation factor and the object time length are unsatisfactory for the adjacent lane and do Disturb condition；

Wherein, time of the cart by the time for needed for when cart passes through the target monitoring position, the cart is minimum Deviation factors are cart by the detection error factor minimum during the target track.

8. vehicular traffic detection method according to claim 7, it is characterised in that the vehicle includes cart by condition Condition is passed through by condition and dolly.

9. vehicular traffic detection method according to claim 8, it is characterised in that the judgement target deviation factor Included by the process of condition with whether the object time length meets vehicle：

Judge whether the object time length is more than the cart by the time and whether judges the target deviation factor More than the dolly maximum deviation factor, if the object time length pass through the time more than the cart and the target deviation because Son is more than the dolly maximum deviation factor, then judge that the target deviation factor and the object time length meet described big Car passes through condition；

Judge the object time length whether less than dolly by the time, if it is, judge the target deviation factor and The object time length meets the dolly by condition；

Wherein, the dolly maximum deviation factor is the detection error factor of the dolly by maximum during the target track, described Time of the dolly by the time for needed for when dolly passes through the target monitoring position.

10. a kind of vehicular traffic detecting system, it is characterised in that include：

Signal detection module, for carrying out the real-time detection of earth magnetism field signal to the target monitoring position on target track, obtains Target earth's magnetic field live signal；

Signal processing module, for when within a period of time all target earth's magnetic fields live signal that detect with it is predetermined When difference between the value of background earth's magnetic field is all higher than first threshold, the time span corresponding to described a period of time is defined as into mesh Mark time span, and will be the maximum target earth's magnetic field live signal of signal intensity in all target earth's magnetic fields live signal true It is set to Target Max signal；

Deviation factors determining module, for being worth according to the Target Max signal and the background earth's magnetic field, determines target Deviation factors；

First judge module, for when the target deviation factor be more than Second Threshold when, judge the target deviation factor with Whether the object time length meets adjacent lane interference condition, if it is, all target earth's magnetic fields are believed in real time Number it is defined as the interference signal that adjacent lane is caused to the target track；

Second judge module, for judging the target deviation factor and the object time length when first judge module When being unsatisfactory for adjacent lane interference condition, judge whether the target deviation factor and the object time length meet vehicle and lead to Condition is crossed, if it is, all target earth's magnetic fields live signal is defined as by vehicle by the target track Detected signal during target monitoring position.